Genetic variants in SLC22A3 contribute to the susceptibility to colorectal cancer

Genome-wide cross-disease analyses highlight causality and shared biological pathways of type 2 diabetes with gastrointestinal disorders

Studies suggest links between diabetes and gastrointestinal (GI) traits; however, their underlying biological mechanisms remain unclear. Here, we comprehensively assess the genetic relationship between type 2 diabetes (T2D) and GI disorders. Our study demonstrates a significant positive global genetic correlation of T2D with peptic ulcer disease (PUD), irritable bowel syndrome (IBS), gastritis-duodenitis, gastroesophageal reflux disease (GERD), and diverticular disease, but not inflammatory bowel disease (IBD). We identify several positive local genetic correlations (negative for T2D - IBD) contributing to T2D's relationship with GI disorders. Univariable and multivariable Mendelian randomisation analyses suggest causal effects of T2D on PUD and gastritis-duodenitis and bidirectionally with GERD. Gene-based analyses reveal a gene-level genetic overlap between T2D and GI disorders and identify several shared genes reaching genome-wide significance. Pathway-based study implicates leptin (T2D - IBD), thyroid, interferon, and notch signalling (T2D - IBS), abnormal circulating calcium (T2D - PUD), cardiovascular, viral, proinflammatory and (auto)immune-mediated mechanisms in T2D and GI disorders. These findings support a risk-increasing genetic overlap between T2D and GI disorders (except IBD), implicate shared biological pathways with putative causality for certain T2D - GI pairs, and identify targets for further investigation.

SLC22A3 that encodes organic cation transporter-3 is associated with prognosis and immunogenicity of human lung squamous cell carcinoma

Background

SLC22A3, the gene which encodes organic cation transporter (OCT)-3, has been linked to the prognosis of several types of cancer. However, its role in lung squamous cell carcinoma (LSCC) has not been addressed elsewhere.

Methods

We analyzed gene expression, DNA methylation, and clinicopathological data from The Cancer Genome Atlas - Lung Squamous Cell Carcinoma (TCGA-LUSC) (n=501), a publicly available database exclusively consisting of LSCC patients. Using a 5 FPKM (fragments per kilobase of exon per million mapped fragments) cut-off, we divided LSCC patients into two groups: patients with tumors possessing high and low SLC22A3 expression (SLC22A3-high and SLC22A3-low, respectively). Prognostic significance was determined through Cox analyses and Kaplan-Meier curves for overall survival (OS) and disease-free survival (DFS). Differential methylation position (DMP), differentially gene expression, and pathway analyses were performed. Validation was carried out in GSE74777 (n=107), GSE37745 (n=66), GSE162520 (n=45) and GSE161537 (n=17).

Results

SLC22A3-high LSCC patients had lower OS and DFS rates than SLC22A3-low LSCC patients. The different expression levels of SLC22A3 in LSCC were correlated with the methylation status of the SLC22A3 gene. Pathway analysis indicated that SLC22A3 expression levels were positively correlated with immune-related pathways such as inflammatory response and abundance of infiltrating immune cells in the tumor microenvironment (TME). Notably, in the SLC22A3-high group, many genes encoding immunological checkpoint inhibitory molecules were upregulated. In addition, SLC22A3 expression positively correlated with the Hot Oral Tumor (HOT) score, indicating high tumor immunogenicity.

Conclusions

These findings suggest that high expression of SLC22A3 is associated with poor prognosis and high immunogenicity in LSCC tumors.

The Influence of SLC22A3 Genetic Polymorphisms on Susceptibility to Type 2 Diabetes Mellitus in Chinese Population

Background

Solute carrier family 22 member 3 (SLC22A3) gene had been reported to be associated with the efficacy of metformin in type 2 diabetes mellitus (T2DM). However, few studies reported the relationship between SLC22A3 polymorphism and T2DM. The aim of this study was to investigate the association of SLC22A3 polymorphism and susceptibility to T2DM in Chinese population.

Methods

We identified SLC22A3 rs555754, rs3123636, rs3088442 genotypes of 450 T2DM patients and 220 healthy controls from the Chinese population. The association between SNPs of SLC22A3 and susceptibility of T2DM was evaluated.

Results

The clinical characteristics were significantly different between T2DM patients and healthy controls. The polymorphisms of SLC22A3 rs555754 and rs3123636 were obviously associated with the susceptibility of T2DM which was adjusted for age, sex and BMI, while rs3088442 did not. And there was haplotype association of SLC22A3 rs3088442-rs3123636 with T2DM susceptibility.

Conclusion

SLC22A3 rs555754 and rs3123636 polymorphisms were associated with the susceptibility to T2DM in Chinese Han population. Large sample size studies would be required to verify this association.

GWAS meta-analysis of 16 790 patients with Barrett's oesophagus and oesophageal adenocarcinoma identifies 16 novel genetic risk loci and provides insights into disease aetiology beyond the single marker level

OBJECTIVE

Oesophageal cancer (EC) is the sixth leading cause of cancer-related deaths. Oesophageal adenocarcinoma (EA), with Barrett's oesophagus (BE) as a precursor lesion, is the most prevalent EC subtype in the Western world. This study aims to contribute to better understand the genetic causes of BE/EA by leveraging genome wide association studies (GWAS), genetic correlation analyses and polygenic risk modelling.

DESIGN

We combined data from previous GWAS with new cohorts, increasing the sample size to 16 790 BE/EA cases and 32 476 controls. We also carried out a transcriptome wide association study (TWAS) using expression data from disease-relevant tissues to identify BE/EA candidate genes. To investigate the relationship with reported BE/EA risk factors, a linkage disequilibrium score regression (LDSR) analysis was performed. BE/EA risk models were developed combining clinical/lifestyle risk factors with polygenic risk scores (PRS) derived from the GWAS meta-analysis.

RESULTS

The GWAS meta-analysis identified 27 BE and/or EA risk loci, 11 of which were novel. The TWAS identified promising BE/EA candidate genes at seven GWAS loci and at five additional risk loci. The LDSR analysis led to the identification of novel genetic correlations and pointed to differences in BE and EA aetiology. Gastro-oesophageal reflux disease appeared to contribute stronger to the metaplastic BE transformation than to EA development. Finally, combining PRS with BE/EA risk factors improved the performance of the risk models.

CONCLUSION

Our findings provide further insights into BE/EA aetiology and its relationship to risk factors. The results lay the foundation for future follow-up studies to identify underlying disease mechanisms and improving risk prediction.

Polymorphic renal transporters and cisplatin's toxicity in urinary bladder cancer patients: current perspectives and future directions

Urinary bladder cancer (UBC) holds a potentially profound social burden and affects over 573,278 new cases annually. The disease's primary risk factors include occupational tobacco smoke exposure and inherited genetic susceptibility. Over the past 30 years, a number of treatment modalities have emerged, including cisplatin, a platinum molecule that has demonstrated effectiveness against UBC. Nevertheless, it has severe dose-limiting side effects, such as nephrotoxicity, among others. Since intracellular accumulation of platinum anticancer drugs is necessary for cytotoxicity, decreased uptake or enhanced efflux are the root causes of platinum resistance and response failure. Evidence suggests that genetic variations in any transporter involved in the entry or efflux of platinum drugs alter their kinetics and, to a significant extent, determine patients' responses to them. This review aims to consolidate and describe the major transporters and their polymorphic variants in relation to cisplatin-induced toxicities and resistance in UBC patients. We concluded that the efflux transporters ABCB1, ABCC2, SLC25A21, ATP7A, and the uptake transporter OCT2, as well as the organic anion uptake transporters OAT1 and OAT2, are linked to cisplatin accumulation, toxicity, and resistance in urinary bladder cancer patients. While suppressing the CTR1 gene's expression reduced cisplatin-induced nephrotoxicity and ototoxicity, inhibiting the expression of the MATE1 and MATE2-K genes has been shown to increase cisplatin's nephrotoxicity and resistance. The roles of ABCC5, ABCA8, ABCC10, ABCB10, ABCG1, ATP7B, ABCG2, and mitochondrial SLC25A10 in platinum-receiving urinary bladder cancer patients should be the subject of further investigation.

Epigallocatechin gallate stimulated histamine production and downregulated histamine H1 receptor in oral cancer cell lines expressing histidine decarboxylase

OBJECTIVES

Increased histamine production and the overexpression of receptors (H1R∼H4R) has been reported in several tumors. The effects of TGFβ1 and epigallocatechin gallate (EGCG) on histamine synthesizing enzymes (HDCs), and the histamine transporter systems and receptors were investigated in this study.

METHODS

Four oral cancer cell lines (HSC2, HSC3, HSC4, and SAS) were treated with or without TGFβ1 or EGCG for 24 h. The expression levels of HDC, SLC22A3, H1R∼H4R, and TAS2R14 were investigated by Western blotting. Histamine concentrations were determined using the enzyme immune assay. Bitter taste receptor (TAS2R14 and TAS2R39) mRNAs were investigated by RT-PCR.

RESULTS

Varying expression levels of HDC, SLC22A3, H1R∼H4R, and TAS2R14 were observed in the four cell lines, where histamine concentrations were found to be ∼500 fmol/ml in cell culture media and induced 2-2.5 times higher amounts of histamine following EGCG treatment. TGFβ1 increased HDC expression in three cell lines, SLC22A3 expression in three cell lines, H1R expression in two cell lines, H2R expression in three cell lines, H3R expression in three cell lines, and H4R expression in three cell lines. EGCG decreased HDC expression in all four cell lines, SLC22A3 expression in three expression, H1R expression in all four cell lines, H2R expression in two cell lines, H3R expression in three cell lines, and H4R expression in two cell lines.

CONCLUSIONS

EGCG upregulated histamine production and decreased the expression level of H1R in the oral cancer cell lines. It might prove useful for cancer therapy during histamine regulation.

Recent Updates on Mechanisms of Resistance to 5-Fluorouracil and Reversal Strategies in Colon Cancer Treatment

5-Fluorouracil (5-FU) plus leucovorin (LV) remain as the mainstay standard adjuvant chemotherapy treatment for early stage colon cancer, and the preferred first-line option for metastatic colon cancer patients in combination with oxaliplatin in FOLFOX, or irinotecan in FOLFIRI regimens. Despite treatment success to a certain extent, the incidence of chemotherapy failure attributed to chemotherapy resistance is still reported in many patients. This resistance, which can be defined by tumor tolerance against chemotherapy, either intrinsic or acquired, is primarily driven by the dysregulation of various components in distinct pathways. In recent years, it has been established that the incidence of 5-FU resistance, akin to multidrug resistance, can be attributed to the alterations in drug transport, evasion of apoptosis, changes in the cell cycle and DNA-damage repair machinery, regulation of autophagy, epithelial-to-mesenchymal transition, cancer stem cell involvement, tumor microenvironment interactions, miRNA dysregulations, epigenetic alterations, as well as redox imbalances. Certain resistance mechanisms that are 5-FU-specific have also been ascertained to include the upregulation of thymidylate synthase, dihydropyrimidine dehydrogenase, methylenetetrahydrofolate reductase, and the downregulation of thymidine phosphorylase. Indeed, the successful modulation of these mechanisms have been the game plan of numerous studies that had employed small molecule inhibitors, plant-based small molecules, and non-coding RNA regulators to effectively reverse 5-FU resistance in colon cancer cells. It is hoped that these studies would provide fundamental knowledge to further our understanding prior developing novel drugs in the near future that would synergistically work with 5-FU to potentiate its antitumor effects and improve the patient's overall survival.

Genetic variations in microRNA-binding sites of solute carrier transporter genes as predictors of clinical outcome in colorectal cancer

One of the principal mechanisms of chemotherapy resistance in highly frequent solid tumors, such as colorectal cancer (CRC), is the decreased activity of drug transport into tumor cells due to low expression of important membrane proteins, such as solute carrier (SLC) transporters. Sequence complementarity is a major determinant for target gene recognition by microRNAs (miRNAs). Single-nucleotide polymorphisms (SNPs) in target sequences transcribed into messenger RNA may therefore alter miRNA binding to these regions by either creating a new site or destroying an existing one. miRSNPs may explain the modulation of expression levels in association with increased/decreased susceptibility to common diseases as well as in chemoresistance and the consequent inter-individual variability in drug response. In the present study, we investigated whether miRSNPs in SLC transporter genes may modulate CRC susceptibility and patient's survival. Using an in silico approach for functional predictions, we analyzed 26 miRSNPs in 9 SLC genes in a cohort of 1368 CRC cases and 698 controls from the Czech Republic. After correcting for multiple tests, we found several miRSNPs significantly associated with patient's survival. SNPs in SLCO3A1, SLC22A2 and SLC22A3 genes were defined as prognostic factors in the classification and regression tree analysis. In contrast, we did not observe any significant association between miRSNPs and CRC risk. To the best of our knowledge, this is the first study investigating miRSNPs potentially affecting miRNA binding to SLC transporter genes and their impact on CRC susceptibility or patient's prognosis.

lncRNA ILF3-AS1 promotes proliferation and metastasis of colorectal cancer cells by recruiting histone methylase EZH2

The role of long non-coding RNA (lncRNA) has been displayed in colorectal cancer (CRC). Here, we aimed to discuss the role of lncRNA interleukin enhancer-binding factor 3-antisense RNA 1 (ILF3-AS1)/enhancer of zeste homolog 2 (EZH2)/cyclin-dependent kinase inhibitor 2 (CDKN2A)/histone 3 (H3) lysine 27 trimethylation (H3K27me3) in cell proliferation and metastasis of CRC. ILF3-AS1, EZH2, and CDKN2A levels in CRC tissues and cells were detected. The relationship between ILF3-AS1/EZH2 expression and the clinicopathological features of CRC was analyzed. High/low expression of ILF3-AS1/EZH2 plasmids were composed to explore the function of ILF3-AS1/EZH2 in invasion, migration, proliferation, colony formation, and apoptosis of CRC cells. The growth status of nude mice was observed to verify the in vitro results from in vivo experiment. ILF3-AS1 and EZH2 increased, whereas CDKN2A reduced in CRC tissues and cells. ILF3-AS1 and EZH2 expression was linked to Dukes stage, distant metastasis, vascular invasion, and lymph node metastasis of CRC patients. Depleted ILF3-AS1 or reduced EZH2 suppressed proliferation, migration, colony-formation, and invasion ability, as well as facilitated apoptosis of CRC cells and attenuated the tumor growth in CRC mice. ILF3-AS1 accelerates the proliferation and metastasis of CRC cells by recruiting histone methylase EZH2 to induce trimethylation of H3K27 and downregulate CDKN2A.

Expression and clinical significance of organic cation transporter family in glioblastoma multiforme

BACKGROUND

Solute carrier (SLC) 22 A1, A2, and A3 are polyspecific transporters transporting organic cations like histamine, serotonin, norepinephrine, dopamine, MPP + , and toxins. The expression of SLC22A1-A3 in cancer is seldom investigated, and the function of SLC22A1-A3 in glioblastoma multiforme (GBM) is never elucidated.

MATERIALS

In our study, we detected the expression of SLC22A1-A3 in 11 fresh GBMs and tumor-adjacent brain tissues with qPCR, and in 129 paraffin-embedded GBMs with immunohistochemistry (IHC). With chi-square test, we investigated the correlation between expression of SLC22A1-A3 and the clinicopathological factors including patients' age, sex, tumor size, and KPS score. With Kaplan-Meier method and Cox-regression model, we estimated the prognostic significance of SLC22A1-A3 in GBM.

RESULTS

SLC22A3 was significantly downregulated in GBMs compared with the tumor-adjacent normal tissues. With univariate survival analyses, we showed that SLC22A3, instead of SLC22A1 and A2, was an independent biomarker predicting favorable prognosis. With multivariate analyses, SLC22A3 was identified as an independent prognostic biomarker indicating the favorable outcome of GBM.

CONCLUSIONS

SLC22A3 is an independent favorable prognostic biomarker of GBM. Patients with low SLC22A3 may be more high-risk and should receive more intensive post-operational supervision and treatments.

Potential targets identified in adenoid cystic carcinoma point out new directions for further research

Adenoid cystic carcinoma (AdCC) of the head and neck originates from salivary glands, with high risks of recurrence and metastasis that account for the poor prognosis of patients. The purpose of this research was to identify key genes related to AdCC for further investigation of their diagnostic and prognostic significance. In our study, the AdCC sample datasets GSE36820, GSE59702 and GSE88804 from the Gene Expression Omnibus (GEO) database were used to explore the abnormal coexpression of genes in AdCC compared with their expression in normal tissue. A total of 115 DEGs were obtained by screening with GEO2R and FunRich software. According to functional annotation analysis using Enrichr, these DEGs were mainly enriched in the SOX2, AR, SMAD and MAPK signaling pathways. A protein-protein network of the DEGs was established by the Search Tool for the Retrieval of Interacting Genes (STRING) and annotated through the WEB-based Gene SeT AnaLysis Toolkit (WebGestalt) and was shown to be enriched with proteins involved in cardiac muscle cell proliferation and extracellular matrix organization. A Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis revealed that ITGA9, LAMB1 and BAMBI were associated with the PI3K-Akt and TGF-β pathways. Furthermore, 36 potential target miRNAs were identified by the OncomiR and miRNA Pathway Dictionary Database (miRPathDB). In conclusion, SLC22A3, FOXP2, Cdc42EP3, COL27A1, DUSP1 and HSPB8 played critical roles according to the enrichment analysis; ITGA9, LAMB1 and BAMBI were involved in significant pathways according to the KEGG analysis; ST3Gal4 is a pivotal component of the PPI network of all the DEGs obtained; SPARC, COL4A2 and PRELP were highly related to multiple malignancies in pan-cancer research; hsa-miR-29-3p, hsa-miR-132-3p and hsa-miR-708-5p were potential regulators in AdCC. The involved pathways, biological processes and miRNAs have been shown to play significant roles in the genesis, growth, invasion and metastasis of AdCC. In this study, these identified DEGs were considered to have a potential influence on AdCC but have not been studied in this disease. The analysis results promote our understanding of the molecular mechanisms and biological processes of AdCC, which might be useful for targeted therapy or diagnosis.

Identification of a Six-Gene Signature for Predicting the Overall Survival of Cervical Cancer Patients

Background

Although the incidence of cervical cancer has decreased in recent decades with the development of human papillomavirus vaccines and cancer screening, cervical cancer remains one of the leading causes of cancer-related death worldwide. Identifying potential biomarkers for cervical cancer treatment and prognosis prediction is necessary.

Methods

Samples with mRNA sequencing, copy number variant, single nucleotide polymorphism and clinical follow-up data were downloaded from The Cancer Genome Atlas database and randomly divided into a training dataset (N=146) and a test dataset (N=147). We selected and identified a prognostic gene set and mutated gene set and then integrated the two gene sets with the random survival forest algorithm and constructed a prognostic signature. External validation and immunohistochemical staining were also performed.

Results

We obtained 1416 differentially expressed prognosis-related genes, 624 genes with copy number amplification, 1038 genes with copy number deletion, and 163 significantly mutated genes. A total of 75 candidate genes were obtained after overlapping the differentially expressed genes and the genes with genomic variations. Subsequently, we obtained six characteristic genes through the random survival forest algorithm. The results showed that high expression of SLC19A3, FURIN, SLC22A3, and DPAGT1 and low expression of CCL17 and DES were associated with a poor prognosis in cervical cancer patients. We constructed a six-gene signature that can separate cervical cancer patients according to their different overall survival rates, and it showed robust performance for predicting survival (training set: p ˂ 0.001, AUC = 0.82; testing set: p ˂ 0.01, AUC = 0.59).

Conclusion

Our study identified a novel six-gene signature and nomogram for predicting the overall survival of cervical cancer patients, which may be beneficial for clinical decision-making for individualized treatment.

Genetic and Epigenetic Regulation of Organic Cation Transporters

Organic cation transporters (OCTs) of the solute carrier family (SLC) 22 are the subject of intensive research because they mediate the transport of many clinically-relevant drugs such as the antidiabetic agent metformin, the opioid tramadol, and the antimigraine agent sumatriptan. OCT1 (SLC22A1) and OCT2 (SLC22A2) are highly expressed in human liver and kidney, respectively, while OCT3 (SLC22A3) shows a broader tissue distribution. As suggested from studies using knockout mice, particularly OCT2 and OCT3 appear to be of relevance for brain physiological function and drug response. The knowledge of genetic factors and epigenetic modifications affecting function and expression of OCTs is important for a better understanding of disease mechanisms and for personalized treatment of patients. This review briefly summarizes the impact of genetic variants and epigenetic regulation of OCTs in general. A comprehensive overview is given on the consequences of OCT2 and OCT3 knockout in mice and the implications of genetic OCT2 and OCT3 variants on central nervous system function in humans.

A genome-wide survey of interaction between rice and Magnaporthe oryzae via microarray analysis

The main aim of the work is to study the regulation of gene expression in the interaction between rice and Magnaporthe oryzae by gene chip technology. In this study, we mainly focused on changes of gene expression at 24, 48, and 72 hours post-inoculation (hpi), through which we could conduct a more comprehensive analysis of rice blast-related genes in the process of infection. The results showed that the experimental groups contained 460, 1227, and 3937 significant differentially expressed genes at 24, 48, and 72 hpi, respectively. Furthermore, 115 significantly differentially expressed genes were identified in response to rice blast infection at all three time points. By annotating these 115 genes, they were divided into three categories: metabolic pathways, proteins or enzymes, and organelle components. As expected, many of these genes were known rice blast-related genes; however, we discovered new genes with high fold changes. Most of them encoded conserved hypothetical proteins, and some were hypothetically conserved genes. Our study may contribute to finding new resistance genes and understanding the mechanism of rice blast development.

An Eight-CircRNA Assessment Model for Predicting Biochemical Recurrence in Prostate Cancer

Prostate cancer (PCa) is a high morbidity malignancy in males, and biochemical recurrence (BCR) may appear after the surgery. Our study is designed to build up a risk score model using circular RNA sequencing data for PCa. The dataset is from the GEO database, using a cohort of 144 patients in Canada. We removed the low abundance circRNAs (FPKM < 1) and obtained 546 circRNAs for the next step. BCR-related circRNAs were selected by Logistic regression using the “survival” and “survminer” R package. Least absolute shrinkage and selector operation (LASSO) regression with 10-fold cross-validation and penalty was used to construct a risk score model by “glmnet” R software package. In total, eight circRNAs (including circ_30029, circ_117300, circ_176436, circ_112897, circ_112897, circ_178252, circ_115617, circ_14736, and circ_17720) were involved in our risk score model. Further, we employed differentially expressed mRNAs between high and low risk score groups. The following Gene Ontology (GO) analysis were visualized by Omicshare Online tools. As per the GO analysis results, tumor immune microenvironment related pathways are significantly enriched. “CIBERSORT” and “ESTIMATE” R package were used to detect tumor-infiltrating immune cells and compare the level of microenvironment scores between high and low risk score groups. What’s more, we verified two of eight circRNA’s (circ_14736 and circ_17720) circular characteristics and tested their biological function with qPCR and CCK8 in vitro. circ_14736 and circ_17720 were detected in exosomes of PCa patients’ plasma. This is the first bioinformatics study to establish a prognosis model for prostate cancer using circRNA. These circRNAs were associated with CD8⁺ T cell activities and may serve as a circRNA-based liquid biopsy panel for disease prognosis.

Glucose metabolism-related gene polymorphisms as the risk predictors of type 2 diabetes

Type 2 diabetes mellitus (T2DM) is a complex polygenic metabolic disease characterized by elevated blood glucose. Multiple environmental and genetic factors can increase the risk of T2DM and its complications, and genetic polymorphisms are no exception. This review is mainly focused on the related genes involved in glucose metabolic, including G6PC2, GCK, GCKR and OCT3. In this review, we have summarized the results reported globally and found that the genetic variants of GCK and OCT3 genes is a risk factor for T2DM while G6PC2 and GCKR genes are controversial in different ethnic groups. Hopefully, this summary could possibly help researchers and physicians understand the mechanism of T2DM so as to diagnose and even prevent T2DM at early time.

How Dysregulated Ion Channels and Transporters Take a Hand in Esophageal, Liver, and Colorectal Cancer

Over the last two decades, the understanding of how dysregulated ion channels and transporters are involved in carcinogenesis and tumor growth and progression, including invasiveness and metastasis, has been increasing exponentially. The present review specifies virtually all ion channels and transporters whose faulty expression or regulation contributes to esophageal, hepatocellular, and colorectal cancer. The variety reaches from Ca²⁺, K⁺, Na⁺, and Cl^- channels over divalent metal transporters, Na⁺ or Cl^- coupled Ca²⁺, HCO₃^- and H⁺ exchangers to monocarboxylate carriers and organic anion and cation transporters. In several cases, the underlying mechanisms by which these ion channels/transporters are interwoven with malignancies have been fully or at least partially unveiled. Ca²⁺, Akt/NF-κB, and Ca²⁺- or pH-dependent Wnt/β-catenin signaling emerge as cross points through which ion channels/transporters interfere with gene expression, modulate cell proliferation, trigger epithelial-to-mesenchymal transition, and promote cell motility and metastasis. Also miRs, lncRNAs, and DNA methylation represent potential links between the misexpression of genes encoding for ion channels/transporters, their malfunctioning, and cancer. The knowledge of all these molecular interactions has provided the basis for therapeutic strategies and approaches, some of which will be broached in this review.

Tetra-primer ARMS-PCR combined with GoldMag lateral flow assay for genotyping: simultaneous visual detection of both alleles

Rapid and simple detection of single nucleotide polymorphism (SNP) is vital for individualized diagnosis and eventual treatment in the current clinical setting. In this study, we developed a tetra-primer ARMS-PCR combined lateral flow assay (T-ARMS-PCR-LFA) method for simultaneous visual detection of two alleles. By using four primers labeled with digoxin, biotin and Cy5 separately in one PCR reaction, the amplified allele-specific products could be captured by streptavidin and the anti-Cy5 antibody on two separated test lines of a LFA strip, which allows the presentation of both alleles within the single LFA strip. Both DNA and whole blood can be used as templates in this genotyping method in which the whole detection process is completed within 75 minutes. The performance assay of T-ARMS-PCR-LFA demonstrates the accuracy, specificity and sensitivity of this method. One hundred human whole blood samples were used for MTHFR C677T genotyping in T-ARMS-PCR-LFA. The concordance rate of the results detected was up to 100% when compared with that of the sequencing results. Collectively, this newly developed method is highly applicable for SNP screening in clinical practices.

Protein expression of ABCC2 and SLC22A3 associates with prognosis of pancreatic adenocarcinoma

ATP-binding cassette (ABC) and solute carrier (SLC) transporters translocate diverse substances across cellular membranes and their deregulation may cause drug resistance of cancers. This study investigated significance of protein expression and cellular localization of the previously suggested putative prognostic markers ABCC2 and SLC22A3 in pancreatic cancer patients. Protein localization and brush border staining intensity of ABCC2 and SLC22A3 was assessed in tumor tissue blocks of 65 pancreatic cancer patients and associated with clinical data and survival of patients with regard to therapy. Negative SLC22A3 brush border staining in pancreatic tumors significantly increased the risk of both disease progression and patient´s death in univariate analyses. Multivariate analyses confirmed the association of SLC22A3 expression with progression-free survival of patients. A subgroup analysis of patients treated with regimens based on nucleoside analogs suggested that patients with negative brush border staining or apical localization of SLC22A3 in tumor cells have worse overall survival. The combination of positive ABCC2 and negative SLC22A3 brush border staining predicted worst overall survival and patients with positive brush border staining of both proteins had best overall and progression-free survival. The present study shows for the first time that the protein presence and to some extent also localization of SLC22A3 significantly associate with prognosis of pancreatic cancer in both unstratified and chemotherapy-treated patients. The combination of ABCC2 and SLC22A3 brush border staining also needs further attention in this regard.

Identifying Putative Susceptibility Genes and Evaluating Their Associations with Somatic Mutations in Human Cancers

Genome-wide association studies (GWASs) have identified hundreds of genetic risk variants for human cancers. However, target genes for the majority of risk loci remain largely unexplored. It is also unclear whether GWAS risk-loci-associated genes contribute to mutational signatures and tumor mutational burden (TMB) in cancer tissues. We systematically conducted cis-expression quantitative trait loci (cis-eQTL) analyses for 294 GWAS-identified variants for six major types of cancer-colorectal, lung, ovary, prostate, pancreas, and melanoma-by using transcriptome data from the Genotype-Tissue Expression (GTEx) Project, the Cancer Genome Atlas (TCGA), and other public data sources. By using integrative analysis strategies, we identified 270 candidate target genes, including 99 with previously unreported associations, for six cancer types. By analyzing functional genomic data, our results indicate that 180 genes (66.7% of 270) had evidence of cis-regulation by putative functional variants via proximal promoter or distal enhancer-promoter interactions. Together with our previously reported associations for breast cancer risk, our results show that 24 genes are shared by at least two cancer types, including four genes for both breast and ovarian cancer. By integrating mutation data from TCGA, we found that expression levels of 33 and 66 putative susceptibility genes were associated with specific mutational signatures and TMB of cancer-driver genes, respectively, at a Bonferroni-corrected p < 0.05. Together, these findings provide further insight into our understanding of how genetic risk variants might contribute to carcinogenesis through the regulation of susceptibility genes that are related to the biogenesis of somatic mutations.